Element AI for Retail
Everything startsand ends with the customer.
The bar has been set very low, and it’s time for a better way.
The hyper-connected customer and increasingly blurred lines between physical and digital distribution channels make it difficult for retailers to both maximize profitability and deliver outstanding customer experience.
Our retail products leverage your data, enabling localized demand sensing, optimized execution and dynamic merchandise planning for store and SKU-level profitability.
With many competing (and sometimes conflicting) tasks, knowing what to do at any given moment is a challenge for many store associates, leaving stores with an often underutilized workforce.
A game-changing software to dynamically optimize tasks in real time.
EAI Task Orchestrator is a task orchestration solution for the store associate, with AI that can sense and respond to both internal and external, structured and unstructured data and signals in order to help associates work smarter and develop near-real-time insights for the prioritization and execution of in-store tasks, in order to best serve the customer.
Learn moreUse cases
With inventory distortion at an all-time high, accounting for the combined cost of out-of-stocks and lost sales, as well as overstocks that must be discounted deeply to sell, retailers need a better solution.
- Utilize in-store transaction data, existing technology and edge data sources to dramatically reduce the number of out-of-stocks on shelf and increase store sales. By focusing the associate on high-value replenishment tasks, stores will increase profitability and customer satisfaction.
- Insights from in-store activity can drive improvements to localizing assortment and planograms up stream.
Manual processes for measuring compliance, analyzing SKU availability and determining brand competition and performance are not only time consuming and error-prone but also limit store associates from taking up customer-facing activities.
- Accurately analyze shelf images for the validation of planograms, pricing and promo compliance to ensure a consistent customer experience.
- Provide SKU/store-level insights to both the planners and the stores, allowing them to activate changes that will have a big impact on top-line growth.
With the store’s role expanding to pick-up orders, store associates are being asked to do more and be ready to meet increasingly high expectations from customers. Many factors must come together to enable effective and profitable fulfillment of e-commerce orders in-store, including a way to assign the right labor, have accurate inventory positions and efficient in-store process.
- Our advanced AI solutions enable retailers to optimize labor, inventory and in-store processes in order to provide the highest service levels to customers.
Global market changes are impacting day-to-day operations for retailers around the world. Some of the factors contributing to this change include the disaggregation of marketing levers, increase in dynamic business strategies, a growing number of SKUs and product launches and the increasingly discerning and well-informed shopper.
- Demand forecasting is critical to businesses across almost all industries. It can seem easy, because there are easy ways to build simple models. But in practice, building a demand-forecasting model that is accurate and useful is a complex challenge. Accurately predicting the flow of inventory between nodes of the supply chain is crucial to decreasing operational costs, as well as to delivering a seamless customer experience, from engagement to sale to fulfillment.
- The combination of the predictive power of forecasting and the prescriptive power of optimization is critical to enabling better business outcomes.
The increasing complexity and fluidity of SKUs, line reviews and the locality of demand patterns are now overburdening stores and overwhelming largely manual assortment planning and planogram-development processes. In effect, an abundance of information has turned into a significant analytical burden, rather than an abundance of insight. Stores are now managing too many complex trade-offs without the analytical tools and bandwidth needed to drive clear, data-driven decisions.
- Through a mixture of expertise, science and art, Element AI proposes a bottom-up approach to assortment and planogram optimization that can be utilized at the store level while also capturing new insights that can be utilized upstream to create the optimal assortment based on each location/SKU. The goal is to reduce inventory holding costs and provide a personalized experience for customers.
Many retailers don't have the infrastructure, processes or tooling necessary to deliver production-ready AI at scale.
One operating system to scale AI solutions
Element AI OS, our delivery and operating architecture, houses all of the different tools and building blocks used to prepare data, optimize resources and craft, deploy and scale AI solutions.
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Helping you map it all out
Most retail enterprises know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.
Our cross-functional team of experts can guide you through the process of driving real business value with AI, from evaluating AI business cases and identifying unique areas of innovation that require further research, through to designing MVPs and deploying sustainable, performant AI business applications at scale.
